Research & Assessment Advisory Panel
Dr. Chandra Muller is Professor of Sociology whose research focuses on how schools shape the course of adolescence and the transition to adulthood. Dr. Muller is is the principal investigator of the Adolescent Health and Academic Achievement Study, the educational component of the Add Health. Her recent work has concentrated on developing new approaches to understand how social processes interact with opportunities to learn in the school, particularly in math and science, and are related to life course outcomes, including educational attainment, health, and civic participation. She has published widely using multiple methodologies on topics related to families, teachers, schools and education policy using a sociological perspective with special attention to racial, ethnic, social class and gender disparities.
Dr. Paul Resta is Professor and Director of Learning Technology Center in the College of Education. Dr. Resta holds the Ruth Knight Milliken Centennial Professorship in the Department of Curriculum and Instruction and serves as director of the Learning Technology Center in the College of Education. He teaches graduate instructional technology courses including advanced instructional design, technology planning, and computer-supported collaborative learning. His current work focuses on computer-supported collaborative learning, the use of telecommunications and multimedia technologies to enhance learning opportunities for students in rural isolated areas, and the design of Web-based learning environments. He currently directs the Leadership Technology Academy funded by the U.S. Dept. of Education.
- Dr. Julie Schell, Faculty Development Specialist, Center for Teaching and Learning and Postdoctoral Fellow, The Mazur Group, School of Engineering and Applied Sciences, Harvard University
- Dr. Dawn Zimmaro, Senior Director and Director of Assessment, Center for Teaching and Learning
Learning Analytics Advisory Panel
Dr. Bruce Porter is Professor and Chair of the Department of Computer Sciences. Dr. Porter's research addresses the grand challenge in Artificial Intelligence of building knowledge bases containing the accumulated understanding of entire fields of human inquiry, such as cell biology or global warming. These knowledge bases are quite unlike digital libraries, in which knowledge is represented as text and computers can do little more than recite information to people. In contrast, they use machine-sensible representations appropriate for automated reasoning and explanation generation. Porter's recent projects focus on knowledge representation, automated reasoning and knowledge acquisition.
Bradley Englert, University Chief Information Officer